TRELLIS.2 LoRA Inference
Turns a photo into a 3D model
Liveby Trellis
Run inference on LoRA adapters for TRELLIS.2 model
Ask your agent
Say it in your own words. Your agent picks this tool, fills in the details and brings back the answer.
CodexClaude CodeAny agent with a terminal
Make an image with TRELLIS.2 LoRA Inference: a cozy coffee shop in São Paulo at golden hour.
More examples
Create a product photo of our new sneaker on a white background.
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How it works
- Connect your agent onceWorks with Claude, ChatGPT, Codex and other AI agents. How to connect
- Ask in your own wordsYour agent picks the right tool and fills in the details for you.
- Pay only when it worksEach use comes out of your balance. If it fails, you aren't charged.
For developersSummary, tool id, API call, input and output
Image API by Trellis, callable through Superpowers. It costs $0.270 per request, charged only when the call succeeds. Call it with one API key: POST /v1/run with "tool": "fal.trellis-2-lora", or over MCP with run_tool.
- Tool id
- Price per call
- $0.270 / request
Call it
Also over MCP asrun_toolcurl -X POST https://superpowers.tools/v1/run \
-H 'Authorization: Bearer $SP_KEY' \
-d '{"tool":"fal.trellis-2-lora","input":{"image_url":""},"idempotency_key":"example-request-1"}'Input
27 fields · 1 required{
"type": "object",
"required": [
"image_url"
],
"properties": {
"ss_guidance_interval_end": {
"type": "number",
"description": "Denoising fraction at which guidance ends for the sparse-structure stage. Must be >= ss_guidance_interval_start.",
"default": 1
},
"shape_slat_guidance_interval_end": {
"type": "number",
"description": "Denoising fraction at which guidance ends for the shape stage. Must be >= shape_slat_guidance_interval_start.",
"default": 1
},
"enable_safety_checker": {
"type": "boolean",
"description": "Authorized callers may set false to request relaxed screening.",
"default": true
},
"shape_slat_guidance_strength": {
"type": "number",
"description": "Classifier-free guidance strength for the shape stage.",
"default": 7.5
},
"geometry_lora_url": {
"type": "string",
"description": "Optional safetensors LoRA checkpoint trained for the geometry denoiser."
},
"decimation_target": {
"type": "integer",
"description": "Target vertex count for the exported GLB.",
"default": 500000
},
"ss_rescale_t": {
"type": "number",
"description": "Noise-schedule sharpness for the sparse-structure stage.",
"default": 5
},
"tex_slat_guidance_interval_end": {
"type": "number",
"description": "Denoising fraction at which guidance ends for the texture stage. Must be >= tex_slat_guidance_interval_start.",
"default": 0.9
},
"shape_slat_rescale_t": {
"type": "number",
"description": "Noise-schedule sharpness for the shape stage.",
"default": 3
},
"tex_slat_guidance_interval_start": {
"type": "number",
"description": "Denoising fraction at which guidance starts for the texture stage.",
"default": 0.6
},
"ss_sampling_steps": {
"type": "integer",
"description": "Number of denoising steps for the sparse-structure stage.",
"default": 12
},
"tex_slat_sampling_steps": {
"type": "integer",
"description": "Number of denoising steps for the texture stage.",
"default": 12
},
"ss_guidance_strength": {
"type": "number",
"description": "Classifier-free guidance strength for the sparse-structure stage.",
"default": 7.5
},
"resolution": {
"type": "integer",
"description": "Generation resolution. Must match the resolution the provided LoRA adapters were trained at (1024 runs the cascade pipeline).",
"default": 512,
"enum": [
512,
1024
]
},
"seed": {
"type": "integer",
"description": "Random seed for reproducible generation."
},
"ss_guidance_rescale": {
"type": "number",
"description": "Guidance rescale for the sparse-structure stage; higher stabilizes output.",
"default": 0.7
},
"texture_size": {
"type": "integer",
"description": "Texture resolution baked into the exported GLB.",
"default": 2048,
"enum": [
1024,
2048,
4096
]
},
"shape_slat_guidance_interval_start": {
"type": "number",
"description": "Denoising fraction at which guidance starts for the shape stage.",
"default": 0.6
},
"sparse_structure_lora_url": {
"type": "string",
"description": "Optional safetensors LoRA checkpoint trained for the sparse structure denoiser."
},
"shape_slat_guidance_rescale": {
"type": "number",
"description": "Guidance rescale for the shape stage; increase if geometry looks noisy.",
"default": 0.5
},
"image_url": {
"type": "string",
"description": "URL of the input image to convert to a 3D model."
},
"tex_slat_rescale_t": {
"type": "number",
"description": "Noise-schedule sharpness for the texture stage.",
"default": 3
},
"shape_slat_sampling_steps": {
"type": "integer",
"description": "Number of denoising steps for the shape stage.",
"default": 12
},
"texture_lora_url": {
"type": "string",
"description": "Optional safetensors LoRA checkpoint trained for the texture denoiser."
},
"tex_slat_guidance_strength": {
"type": "number",
"description": "Classifier-free guidance strength for the texture stage.",
"default": 1
},
"tex_slat_guidance_rescale": {
"type": "number",
"description": "Guidance rescale for the texture stage; increase if textures look noisy.",
"default": 0
},
"ss_guidance_interval_start": {
"type": "number",
"description": "Denoising fraction at which guidance starts for the sparse-structure stage.",
"default": 0.6
}
}
}